Evidence map›Paper›PMID 35227456›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2022

Performance of the UK Prospective Diabetes Study Outcomes Model 2 in a Contemporary UK Type 2 Diabetes Trial Cohort.

Mi Jun Keng, Jose Leal, Marion Mafham, Louise Bowman, Jane Armitage, Borislava Mihaylova

Abstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. The Long-Term Cost-Effectiveness of Oral Semaglutide Versus Lower-Cost Liraglutide in the UK.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
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  15. Using QALYs as an Outcome for Assessing Global Prediction Accuracy in Diabetes Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mi Jun KengHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK; British Heart Foundation Centre of Research Excellence, Oxford, England, UK. Electronic address: mijun.keng@ndph.ox.ac.uk.
Jose LealHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK.
Marion MafhamClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK.
Louise BowmanClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK.
Jane ArmitageBritish Heart Foundation Centre of Research Excellence, Oxford, England, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK.
Borislava MihaylovaHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK; Wolfson Institute of Population Health, Queen Mary University of London, London, England, UK.

Funding

British Heart Foundation CH/1996001/9454British Heart Foundation RE/13/1/30181British Heart Foundation SP/08/010/25939British Heart Foundation SP/14/3/31114Cancer Research UK 16896Medical Research Council MC_U137686853Medical Research Council MC_UU_12026/5
6 · The paper itself

Abstract

objectivesThe UK Prospective Diabetes Study (UKPDS) Outcomes Model (UKPDS-OM) developed using 30-year (1977-2007) data from the UKPDS is widely used for health outcomes' projections and economic evaluations of therapies for patients with type 2 diabetes (T2D). Nevertheless, its reliability for contemporary UK T2D populations is unclear. We assessed the performance of version 2 of the model (UKPDS-OM2) using data from A Study of Cardiovascular Events in Diabetes (ASCEND), which followed participants with diabetes in the UK between 2005 and 2017.

methodsThe UKPDS-OM2 was used to predict the occurrence of myocardial infarction (MI), other ischemic heart disease, stroke, cardiovascular (CV) death, and other death among the 14 569 participants with T2D in ASCEND, all without previous CV disease at study entry. Calibration (comparison of predicted and observed year-on-year cumulative incidence over 10 years) and discrimination (c-statistics) of the model were assessed for each endpoint. The percentage error in event rates at year 7 (mean duration of follow up) was used to quantify model bias.

resultsThe UKPDS-OM2 substantially overpredicted MI, stroke, CV death, and other death over the 10-year follow-up period (by 149%, 42%, 269%, and 52%, respectively, at year 7). Discrimination of the model for MI and other ischemic heart disease (c-statistics 0.58 and 0.60, respectively) was poorer than that for other outcomes (c-statistics ranging from 0.66 to 0.72).

conclusionsThe UKPDS-OM2 substantially overpredicted risks of key CV outcomes and death in people with T2D in ASCEND. Appropriate adjustments or a new model may be required for assessments of long-term effects of treatments in contemporary T2D cohorts.

Indexed as

Models, StatisticalAgedAge FactorsBlood PressureCardiovascular DiseasesDiabetes ComplicationsDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansLipidsMaleMiddle AgedOutcome Assessment, Health CareProspective StudiesReproducibility of ResultsGlycated HemoglobinLipidsASCENDtype 2 diabetesUK Prospective Diabetes Study outcomes modelvalidation

Identifiers

PMID35227456
PMCPMC8881217

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.